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SAS Jobs in New York

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VP Advanced Analytics
Salary

US$170000 - US$185000 per year

Location

New York

Description

VP Advanced Analytics- Please check out if your experience lies within SQL/R/Python to understand market effectiveness and attribution.

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Senior Pricing Analyst
Salary

US$90000 - US$100000 per year

Location

Boston, Massachusetts

Description

Do you have a background in pricing analytics, and a love for travel and how people choose to travel? If so, I have a great role for you!

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Lead Analytics Analyst
Salary

US$100000 - US$115000 per year

Location

Boston, Massachusetts

Description

SQL/R/Python Lead Analytics Analyst based role in the greater Boston area!

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Senior Statistical Analyst
Salary

US$140000 - US$150000 per year

Location

New York

Description

Are yourself a statistics expert? Do you love to translate complex analyses into stories that can be applied to business strategies?

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Advanced Analytics Manager
Salary

US$120000 - US$150000 per year + Bonus

Location

Norwalk, Connecticut

Description

Urgent need for an Advanced Analytics Manager for a global information services company based out of Connecticut with technical skills in SQL/R/Python.

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Harnham blog & news

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Putting The Pieces Together – Setting Up Your Credit Risk Team

Putting The Pieces Together – Setting Up Your Credit Risk Team

As startups, FinTech, InsTech, and other industries shake up the status quo, it’s more important than ever for the more established institutions to break out of their comfort zones. Break out, buck up, and keep up with those leading the pack in digital transformation. Personal data, privacy regulations, and password protections are just a few of things a Credit Risk team must consider when planning their Risk Management strategies. I spoke to Ewan Dunbar from our UK office about what businesses and candidates today need to know to stay on top of their game. Here’s what he had to say when I asked what the top three roles to consider in the industry were and how they worked together? Top 3 Roles in a Credit Risk Team Process Analyst - helps to identify, design, and monitor daily processes to ensure customer accounts are efficient and effectiveData Modeler – helps to segment large amounts of data into micro and macro trends using statistical analysis. This is where solid programming experience comes in such as R and Java, though SAS is still used in older organizations, it’s being used less so as new tech startups and innovators arise. Decision Science Analyst – This role sets the wider parameters of the company’s goals using quantitative measures, then drills down to determine the best possible course of action. How Do These 3 Roles Work Together? Let’s say a customer wishes to open a bank account. The initial paperwork to be filled out and filed, entered into the system, and monitored through its lifecycle would fall to the Process Analyst. Now, the customer wishes to apply for a credit card. Here, the Data Modeler is responsible for creating a scorecard model to predict, monitor, and evaluate the customer’s ability to make timely payments. The Decision Analyst is the relationship manager who has laid out the overarching goals and following facts, variables, and other data-driven insights communicates and translates the information in a clear manner. What Kind of Education Should I Have? Big Data continues to drive growth in every industry and, by 2020, experts predict an estimated 2.7 million open jobs in Big Data and Analytics. Though it’s been touted from the rooftops for the last few years, there still remains an urgent need for qualified professionals with specific skill sets to fill the gap in these industries. And they’re not easy to find.  For roles in Credit Risk, a brand name education is the name of the game. If you’re just graduating, you have a much higher chance if you come from a red brick or Ivy League background. Experience and a focus on such subjects as statistics, computer science, and mathematics are tailor-made for this industry.  Beyond education, it’s also important that companies ensure their employees have opportunities to upskill in the areas they need most. Training pays for itself as companies invest in their employees. One Last Piece of Advice  Find your niche. This is not a place for generalists. Once you’ve determined your focus and become an expert in your field, you’ll always be in high demand. If you’re looking to dig in your heels and get set up for a strong career path, we may have a role for you. Check out our latest Risk opportunities or contact one of our expert recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com. 

Joe Gibbs

Joe Gibbs

04. April 2019

AI and Predictive Analytics Check-in to Hospitality

AI and Predictive Analytics Check-in to Hospitality

With summer in full swing, many of us are either planning our vacations, or have already enjoyed them and are thinking of where to go next. Regardless of location, we’re all looking for the same thing; a great experience to remember for years to come. No matter how exciting our trip, we all want our plans to run smoothly and, luckily, AI is here to help.  Today we have more options and more buying power than ever before. The ease with which we can search and select via our phones has kept businesses on their toes and driven them to look beyond traditional service.  By incorporating AI, the hospitality sector is implementing new ways to serve their customers more easily and efficiently. Fueling the AI Hospitality Experience The hospitality industry has a notoriously high turnover rate, relying heavily on seasonal workers, and those early in their careers. But, with AI, digital analysis, and predictive analytics entering the industry, new technologies are providing alternative customer service solutions: Predictive Analysis  Automation  Smart Domotics Advertising Predictive Analysis  As ‘the customer is always right’, the best way to create a smooth and memorable experience is to know what they want and then give it to them.  Given that difficulties can arise when there are too few staff for the number of guests, there is a need to be proactive when planning, in order to be reactive on the day. Utilizing Machine Learning, facilities can predict staffing and supply needs, planning for a more streamlined and, ultimately, better service.  Automation  Automating repetitive operations such as check-ins and check-outs, room assignments, and housekeeping deliveries gives staff more time to focus on the customer. As small and large hospitality businesses compete with the growing success of home sharing platforms, such as AirBnB, AI can give traditional facilities a fresh edge. In addition, rapid and efficient responses lead to greater customer satisfaction which, in turn, leads to a healthier bottom line.  Smart Domotics  More and more hotels are looking to the Internet of Things and Linked Technologies as they evolve into ‘smart’ destinations. With devices that can measure everything from room temperature to customer preferences, facilities can adapt in order to create an optimal environment. Furthermore, interaction with these ‘smart’ technologies can help hotels evolve over time, placing a greater emphasis on elements that prove to be the most popular with customers.  Advertising  From targeted Social Media campaigns to personalized gifts on arrival, Analytics can enhance the entire customer experience. When booking, users can engage with Chatbots 24/7, adding an element of humanity to the online booking experience.  When customers engage with resort apps and website, AI technologies cross-check their interactions and adapt their recommendations accordingly. With more people travelling than ever, the effort of keeping up with travelers the world over, night and day, is shifting to AI, thereby allowing the workforce more freedom to tend to customer needs.  AI in the Cloud The world of digital is transforming our lives, and the rise of Cloud technologies has taken digital analysis to the next level. With the advancements in AI, the hotel industry needs professionals who can create apps, collect and translate data, and, of course, build rigid infrastructures.  If you want to help hotel owners get a leg up on their competition and have a hand in creating a memorable travel experience for someone, we may have a role for you. To learn more, check out our current vacancies.  For the West Coast team call us at (415) 614-4999 or email us at sanfraninfo@harnham.com. For our Mid-West and East Coast Teams call us at (212) 796-6070, or email newyorkinfo@harnham.com.

24. July 2018

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